At its annual THINK event, IBM introduced a sweeping set of hybrid technologies and AI capabilities designed to help enterprises transition from AI experimentation to scalable, production-ready implementation. The latest innovations unveiled aim to eliminate long-standing integration and data silos, enabling companies to unlock the full potential of AI built on their own data.

With more than one billion new apps projected to emerge by 2028, organizations are under mounting pressure to manage increasingly fragmented environments. IBM is addressing this challenge head-on with a comprehensive platform approach that combines AI agent development, integration automation, unstructured data activation, and next-generation infrastructure.

“The era of AI experimentation is over. Today’s competitive advantage comes from purpose-built AI integration that drives measurable business outcomes,” said Arvind Krishna, Chairman and CEO, IBM. “IBM is equipping enterprises with hybrid technologies that cut through complexity and accelerate production-ready AI implementations.”

Key Highlights from IBM THINK 2025

Build AI Agents in 5 Minutes with IBM watsonx Orchestrate

IBM is expanding its watsonx Orchestrate offering with an industry-leading portfolio of enterprise-ready agent capabilities:

• No-code to pro-code agent creation in under five minutes

• 150+ pre-built agents and tools through a new Agent Catalog

• Seamless integration with over 80 business apps including Salesforce Agentforce, SAP, Microsoft, Adobe, Oracle, and Workday

• Features like agent orchestration, observability, and governance to ensure end-to-end lifecycle management

Hybrid Integration for 176% ROI with webMethods

To tackle app sprawl across hybrid clouds, IBM unveiled webMethods Hybrid Integration — a next-gen automation platform that replaces fragmented workflows with intelligent coordination across APIs, B2B networks, and cloud environments.

According to a new Forrester Total Economic Impact™ study, enterprises deploying webMethods saw:

• 176% return on investment over three years

• 40% reduction in downtime

• 67% faster execution of simple projects

Turn Unstructured Data into AI Advantage with watsonx.data

IBM is evolving watsonx.data into an open lakehouse with built-in data fabric capabilities to unlock insights from contracts, presentations, spreadsheets, and other unstructured data. Enhancements include:

• watsonx.data integration: Single-interface orchestration for data pipelines

• watsonx.data intelligence: AI-driven insights from unstructured datasets

• Up to 40% improvement in AI accuracy using enriched enterprise data

• Strategic alignment with DataStax and Meta’s Llama Stack to enhance generative AI deployments

Additionally, IBM introduced content-aware storage (CAS) on IBM Fusion and announced upcoming support for IBM Storage Scale, providing always-on contextual extraction of data for faster AI inferencing.

Scaling Trustworthy AI with IBM LinuxONE 5

IBM launched LinuxONE 5, its most secure and AI-performant Linux platform, capable of processing up to 450 billion AI inference operations daily. The system includes:

• Telum II AI processor and upcoming IBM Spyre Accelerator

• Support for confidential containers and quantum-safe encryption

• Up to 44% reduction in TCO over five years compared to x86 infrastructure

Unified Strategy for AI Operationalization

IBM’s comprehensive strategy integrates watsonx, Red Hat, IBM Consulting, and automation tools to help businesses operationalize AI at scale. From generative AI to transactional systems, IBM offers a unified platform for innovation, trust, and measurable impact.

As AI investment and adoption continue to rise, IBM’s THINK 2025 announcements reaffirm its leadership in helping enterprises move beyond pilots to real-world results.